机译:储能系统健康估算锂离子电池状态优化集合学习框架
College of Electrical Engineering Sichuan University Chengdu 610065 China;
Faculty of Computer Science and Engineering Xi'an University of Technology Xi'an 710048 China Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an 710048 China;
Department of Energy Technology Aalborg University Aalborg 9220 Denmark;
College of Electrical Engineering Sichuan University Chengdu 610065 China;
School of Automation Northwestern Polytechnical University Xi'an 710072 China;
Department of Energy Technology Aalborg University Aalborg 9220 Denmark;
Battery energy storage system; State of health estimation; Lithium-ion battery; Support vector regression; Ensemble learning;
机译:分布式储能系统锂离子电池健康估计方法的云到边缘状态
机译:以锂离子电池和超级电容器为储能装置的混合动力军车综合设计与控制优化框架
机译:混合军车使用锂离子电池和超级电容器作为能量存储装置的集成设计和控制优化框架
机译:一种锂离子电池储能系统分配系统扩展规划的混合优化方法
机译:使用最佳设计和无功能源框架,在智能配电系统中将生产者与电池能量存储进行智能集成
机译:碳纳米管上的电化学活性结晶介孔共价有机骨架用于锂离子电池的协同储能
机译:基于Kalman滤波器算法的微电网中储能系统的锂离子电池SOC估计